Data Scientist
Sun Life Toronto One York, Canada
CAD 78K-128K (estimate) Entry-level Full Time Found 3d ago
Tasks
- Apply data science techniques including descriptive, predictive, and machine learning methods
- Break down development milestones
- Communicate technical concepts to diverse audiences
- Create technical design artifacts
- Develop AI bots/agents with reasoning capabilities
- Develop ML/data science products
- Engage stakeholders
- Feature engineering
- Foster innovation in analytics
- Implement RAG techniques, prompt engineering, fine-tuning
- Manage multiple projects
- Model training and evaluation
- Translate business goals into analytical problems
- Use AWS SageMaker, Lambda, AI/ML services
- Use containerization (Docker), CI/CD
- Work with data warehousing, ETL pipelines, big data technologies
- Work with vector databases and embedding models
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Big Data | CI/CD | Containerization | Data Engineering | Data Transformation | ETL | Embedding Models | GenAI | LLM APIs | Machine Learning | Microservices | Prompt engineering | PySpark | Python | RAG Techniques | SQL | SageMaker | Statistical modeling | Unstructured Data | Vector Databases
Education
Roles
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